{"id":"W4381185770","doi":"10.32920/23541582.v1","title":"Understanding the over-representation of Black children in Ontario child welfare services","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Child Welfare and Adoption","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Neglect; Welfare; Child abuse; Psychology; Welfare system; White (mutation); Association (psychology); Demography; Developmental psychology; Medicine; Poison control; Environmental health; Suicide prevention; Political science; Psychiatry; Sociology; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005156753,0.0001567358,0.0002420227,0.0001540112,0.0004485883,0.0001365458,0.0004770278,0.0002412506,0.0005625532],"category_scores_gemma":[0.00002223978,0.0001254731,0.0001502507,0.0003512212,0.0001682402,0.0001440413,0.0003699508,0.0005430093,0.0000160607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000610165,"about_ca_system_score_gemma":0.0001367678,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8305657,"about_ca_topic_score_gemma":0.980714,"domain_scores_codex":[0.9983727,0.000169078,0.0003388859,0.000355934,0.0005266481,0.0002367204],"domain_scores_gemma":[0.9992751,0.00008184038,0.0002418141,0.000320382,0.00003790658,0.00004290098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000210523,0.00007481357,0.7913656,0.00007150255,0.0001144575,0.000002173899,0.076959,0.00716057,0.000001772872,0.1235546,0.0004632414,0.0002112861],"study_design_scores_gemma":[0.0001956197,0.000007361366,0.9569449,0.0002152441,0.00003255014,1.896042e-7,0.02080965,0.000102709,0.000007702378,0.02084234,0.0006766799,0.000165019],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8355231,0.00003642841,0.0003891414,0.02780731,0.0007404225,0.00126371,0.00002918278,0.0001619834,0.1340487],"genre_scores_gemma":[0.9979503,0.0001446119,0.0000211742,0.0001203989,0.0001734107,0.00001053219,0.0001689699,0.0000154687,0.001395185],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1655793,"threshold_uncertainty_score":0.6159562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0898166896639204,"score_gpt":0.3166083376609268,"score_spread":0.2267916479970064,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}